You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Diagnostics of Tree Diseases Caused by Phytophthora austrocedri Species
|
---|---|
Chapter number | 5 |
Book title |
Plant Pathology
|
Published in |
Methods in molecular biology, January 2015
|
DOI | 10.1007/978-1-4939-2620-6_5 |
Pubmed ID | |
Book ISBNs |
978-1-4939-2619-0, 978-1-4939-2620-6
|
Authors |
Vincent Mulholland, Matthew Elliot, Sarah Green |
Abstract |
We present methods for the detection and quantification of four Phytophthora species which are pathogenic on trees; Phytophthora ramorum, Phytophthora kernoviae, Phytophthora lateralis, and Phytophthora austrocedri. Nucleic acid extraction methods are presented for phloem tissue from trees, soil, and pure cultures on agar plates. Real-time PCR methods are presented and include primer and probe sets for each species, general advice on real-time PCR setup and data analysis. A method for sequence-based identification, useful for pure cultures, is also included. |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 29% |
Unspecified | 1 | 14% |
Other | 1 | 14% |
Unknown | 3 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 2 | 29% |
Environmental Science | 1 | 14% |
Unspecified | 1 | 14% |
Unknown | 3 | 43% |